This dataset is part of a Publisher Catalog, and not managed by Google Earth Engine. Contact Large Scale Hydrology Lab for bugs or view more datasets from the Large Scale Hydrology Lab Catalog. Learn more about Publisher datasets.
- Catalog Owner
- Large Scale Hydrology Lab
- Dataset Availability
- 2000-03-05T00:00:00Z–2024-12-26T00:00:00Z
- Dataset Producer
- Large Scale Hydrology Lab
- Cadence
- 8 Days
- Tags
Description
The dataset is produced by the Large Scale Hydrology Lab, which specializes in advancing global and regional water cycle research by synthesizing multi-source Earth observations with process-based modeling.
The PML-V2.2a product provides 500m 8-day resolution global terrestrial evapotranspiration (ET) and gross primary production (GPP) from 2000 to 2024. Driven by MSWEP and MSWX, this version features expanded bottom-up calibration using 208 flux sites and refined parameterization distinguishing irrigated from rainfed croplands.
Validation confirms high accuracy across plant functional types (NSE > 0.60, absolute bias < 5%) and reliable basin-scale water-balance performance (NSE: 0.89–0.91). This MODIS-based record is optimized for high-resolution near-present monitoring.
This dataset is part of the broader PML-V2.2 suite. For the long-term and consolidated record (1982-near present, PML-V2.2a/b/c at 0.1° resolution with different remote sensing forcings), please visit the TPDC data repository.
Bands
Pixel Size
500 meters
Bands
| Name | Units | Min | Max | Scale | Pixel Size | Description |
|---|---|---|---|---|---|---|
GPP |
gC m-2 d-1 | 0* | 3901* | 0.01 | meters | Gross primary production |
ET |
mm/d | 0* | 2011* | 0.01 | meters | Actual evapotranspiration |
Ec |
mm/d | 0* | 1533* | 0.01 | meters | Vegetation transpiration |
Es |
mm/d | 0* | 820* | 0.01 | meters | Soil evaporation |
Ei |
mm/d | 0* | 1256* | 0.01 | meters | Interception from vegetation canopy |
PET |
mm/d | 0* | 2011* | 0.01 | meters | Potential evapotranspiration (PET) estimated using the Shuttleworth-simplified Penman equation. |
Ew |
mm/d | 0* | 2011* | 0.01 | meters | Evaporation from water bodies, snow, and ice, estimated using the Penman equation with unlimited water supply. |
Terms of Use
Terms of Use
Acknowledgements Whenever PML datasets are used in a scientific publication, the given references should be cited.
License The dataset is licensed under the CC-BY 4.0 license.
Citations
Zhang, Y., Kong, D., Gan, R., Chiew, F.H.S., McVicar, T.R., Zhang, Q., and Yang, Y., 2019. Coupled estimation of 500m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017. Remote Sens. Environ. 222, 165-182, doi:10.1016/j.rse.2018.12.031
Gan, R., Zhang, Y.Q., Shi, H., Yang, Y.T., Eamus, D., Cheng, L., Chiew, F.H.S., Yu, Q., 2018. Use of satellite leaf area index estimating evapotranspiration and gross assimilation for Australian ecosystems. Ecohydrology, doi:10.1002/eco.1974
Zhang, Y., Peña-Arancibia, J.L., McVicar, T.R., Chiew, F.H.S., Vaze, J., Liu, C., Lu, X., Zheng, H., Wang, Y., Liu, Y.Y., Miralles, D.G., Pan, M., 2016. Multi-decadal trends in global terrestrial evapotranspiration and its components. Sci. Rep. 6, 19124. doi:10.1038/srep19124
DOIs
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.ImageCollection('projects/pml_evapotranspiration/PML/OUTPUT/PML_V22a'); // Convert 8-day averages to annual estimate with 0.01 scale factor var annualImage = dataset.filterDate('2024-01-01', '2024-12-31') .select('ET') .mean() .multiply(365) .multiply(0.01); // Final unit: mm yr-1 var visualization = { bands: ['ET'], min: 0.0, max: 1600, palette: [ "#A02323", "#C80000", "#FF0000", "#FF6E00", "#FFAA00", "#FFE132", "#FFFFC8", "#D2F5FF", "#A0D2FF", "#00BFFF", "#1E90FF", "#4169E1", "#0000CD", "#000096" ] }; Map.setCenter(0.0, 15.0, 2); Map.addLayer( annualImage, visualization, 'PML_V2.2a Evapotranspiration (ET)');